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Lapgyn4: a dataset for 4 automatic content analysis problems in the domain of laparoscopic gynecology.

A. Leibetseder, S. Petscharnig, M. Primus, S. Kletz, B. Münzer, K. Schoeffmann, and J. Keckstein. MMSys, page 357-362. ACM, (2018)

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Stefan Schubert University of Stuttgart

Experimental and Numerical Data for: "Micro-PIV study on the influence of viscosity on the dynamics of droplet impact onto a thin film"J. Steigerwald, and S. Schubert. Dataset, (2024)Related to: Schubert, S., Steigerwald, J., Geppert, A.K. et al. Micro-PIV study on the influence of viscosity on the dynamics of droplet impact onto a thin film. Exp Fluids 65, 69 (2024). doi: 10.1007/s00348-024-03800-5.

Stefan Kunert University of Stuttgart

Stefan Schippling University of Stuttgart

Stefan Hecht University of Stuttgart

Stefan Köbel University of Stuttgart

Other publications of authors with the same name

Binary convolutional neural network features off-the-shelf for image to video linking in endoscopic multimedia databases.S. Petscharnig, and K. Schöffmann. Multimedia Tools Appl., 77 (21): 28817-28842 (2018)Early and Late Fusion of Temporal Information for Classification of Surgical Actions in Laparoscopic Gynecology.S. Petscharnig, K. Schöffmann, J. Benois-Pineau, S. Chaabouni, and J. Keckstein. CBMS, page 369-374. IEEE Computer Society, (2018)Is one second enough? Evaluating QoE for inter-destination multimedia synchronization using human computation and crowdsourcing.B. Rainer, S. Petscharnig, C. Timmerer, and H. Hellwagner. QoMEX, page 1-6. IEEE, (2015)Challenges and Opportunities of Named Data Networking in Vehicle-To-Everything Communication: A Review.B. Rainer, and S. Petscharnig. Information, 9 (11): 264 (2018)An Inception-like CNN Architecture for GI Disease and Anatomical Landmark Classification.S. Petscharnig, K. Schöffmann, and M. Lux. MediaEval, volume 1984 of CEUR Workshop Proceedings, CEUR-WS.org, (2017)Video retrieval in laparoscopic video recordings with dynamic content descriptors.K. Schoeffmann, H. Husslein, S. Kletz, S. Petscharnig, B. Münzer, and C. Beecks. Multimedia Tools Appl., 77 (13): 16813-16832 (2018)Deep Learning for Shot Classification in Gynecologic Surgery Videos.S. Petscharnig, and K. Schöffmann. MMM (1), volume 10132 of Lecture Notes in Computer Science, page 702-713. Springer, (2017)Collaborative Feature Maps for Interactive Video Search.K. Schoeffmann, M. Primus, B. Münzer, S. Petscharnig, C. Karisch, Q. Xu, and W. Hürst. MMM (2), volume 10133 of Lecture Notes in Computer Science, page 457-462. Springer, (2017)Dimensionality Reduction for Image Features using Deep Learning and Autoencoders.S. Petscharnig, M. Lux, and S. Chatzichristofis. CBMI, page 23:1-23:6. ACM, (2017)Semi-Automatic Retrieval of Relevant Segments from Laparoscopic Surgery Videos.S. Petscharnig. ICMR, page 484-488. ACM, (2017)